This paper presents a hardware-in-loop simulation to validate the autonomous relative navigation algorithm for noncooperative target spacecraft. The algorithm was based on the closed-form solution of linear Clohessy-Wiltshire (C-W) equations and nonlinear measurement equations. The navigation filter, a 6-state extended Kalman filter, processes angle measurements from an optical navigation camera along with range measurement from laser rangefinder data to estimate the relative position and velocity between two spacecrafts. A 15-degree-of-freedom closed-loop kinemical simulation platform was set up based on attitude and relative position motion. The filter’s performance was evaluated and tested by running a hardware-inloop simulation experiment containing the relative measurement sensors. The experimental results validate the proposed algorithm.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Hardware-in-loop simulation of autonomous relative navigation for noncooperative spacecraft


    Beteiligte:
    Yue Qiu, (Autor:in) / Bibo Guo, (Autor:in) / Bin Liang, (Autor:in) / Cheng Li, (Autor:in)


    Erscheinungsdatum :

    2008-12-01


    Format / Umfang :

    795136 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





    Stereovision-based relative states and inertia parameter estimation of noncooperative spacecraft

    Wang, Xun / Wang, Zhaokui / Zhang, Yulin | SAGE Publications | 2019


    Relative Navigation for Autonomous Formation Flying of Spacecraft

    Gramling, C. J. / Lee, T. / Niklewski, D. J. et al. | British Library Conference Proceedings | 1998


    Analytical Nonlinear Observability Analysis for Spacecraft Autonomous Relative Navigation

    Dong, Tianshu / Wang, Dayi / Fu, Fangzhou et al. | IEEE | 2022